mcp-retrieval is a Model Context Protocol server written in Go. It exposes web retrieval capabilities to any MCP-compatible client (Claude Desktop, IDE agents, custom LLM apps) as three read-only…
mcp-retrieval is an MCP project maintained in the role1776/mcp-retrieval repository. The maintainer describes its purpose as “mcp-retrieval is a Model Context Protocol server written in Go. It exposes web retrieval capabilities to any MCP-compatible client (Claude Desktop, IDE agents, custom LLM…”. Read the project documentation for the complete scope.
The project provides a local client configuration using /absolute/path/to/mcp-retrieval. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares MAX_RESULTS. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Message | Meaning |
| web_search | |
| web_search_images | |
| web_scrape |
{
"mcpServers": {
"retrieval": {
"command": "/absolute/path/to/mcp-retrieval",
"env": {
"MAX_RESULTS": "20"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MAX_RESULTS | Declared in the maintainer’s client configuration. | Check documentation |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
Draftly brand voice, posts and topics plus live keyword and SERP data in Claude, ChatGPT or Cursor.
Discover available topics and explore up-to-date, topic-tagged web content. Search to surface the…
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Web search for AI agents — 5 tools: search, news, images, scrape, research. x402/USDC or API key.